data engineer | budapest

megjelenés dátuma
kapcsolat
randstad hungary
állás típusa
határozatlan idejű
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az állás részletei

megjelenés dátuma
elhelyezkedés
budapest
álláskategória
IT / Telekom
állás típusa
határozatlan idejű
referenciaszám
29814 / 31166
kapcsolat
randstad hungary
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Cégleírás / Organisation/Department

Our Partner is a global technology company supplying systems for passenger cars, commercial vehicles and industrial technology, enabling the next generation of mobility. We are looking for a Data Engineer colleague to be part of their team. 

Pozíció leírása / Job description

  • Understand business needs and challenges around big data integration, data engineering, and data operations to build end-to-end data pipelines. 
  • Assemble large, complex data sets, developing data ingestion, data processing and analytical pipelines for big data, and data warehouse solutions to meet functional / non-functional requirements.
  • Orchestrate, Automate and maintain, and testing of Data Pipelines. Expanding and optimizing our data and data pipeline architecture, as well as optimizing data collection and data flow. 
  • Development of data tools for exploration and monitoring that support downstream teams to build data products.
  • Work with value centers and business partners, to assist with data-related technical issues and support the end-to-end production operations of data pipelines.

Elvárások / Requirements

  • A Bachelor's degree or higher within Computer Science
  • 5+ years of experience working with structured and unstructured big data sets.
  • Strong experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Sound knowledge of Data Warehousing concepts, Data model, and big data lake environment(s)
  • Good understanding of Microsoft Azure services like Azure Data Factory, Azure Data Lake Storage, Azure Data Bricks, Azure SQL Databases, and Azure Synapse (SQL DW).
  • Proven experience in data analysis and writing data processing rules for ETL/ELT/ process in a warehouse environment
  • High levels of energy and enthusiasm to work in a dynamic environment and work towards common objectives.

 

Amit kínálunk / Offer

  • Home office work 
  • Even 100% remote work opportunity 
  • Stable company background and long-term working possibility
  • Full of challenges and high-level professional activities at an international company
  • Participation in international projects and commission to foreign countries
  • Career opportunities, continuous training program and language courses
  • Competitive salary and performance-related bonus
  • Cafeteria with optional elements
  • School start support

Kapcsolattartó / Information

Rác Ildikó

ildiko.rac@randstad.hu